Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. - Keke Wu; Xiangru Jian; Rui Du; Jingrun Chen; Xiang Zhou 001 (IEEE Big Data, 2023)

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. - Qixin Zhang 001; Zengde Deng; Xiangru Jian; Zaiyi Chen; Haoyuan Hu; Yu Yang 001 (CIKM, 2023)

InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution. - Xiangru Jian; Yimu Wang (EMNLP (Findings), 2023)

Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks. - Yimu Wang; Xiangru Jian; Bo Xue 004 (EMNLP, 2023)

HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models. - Yimu Wang; Shuai Yuan; Xiangru Jian; Wei Pang; Mushi Wang; Ning Yu (CoRR, 2024)

Do spectral cues matter in contrast-based graph self-supervised learning? - Xiangru Jian; Xinjian Zhao; Wei Pang; Chaolong Ying; Yimu Wang; Yaoyao Xu; Tianshu Yu 001 (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (CoRR, 2024)

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte Suresh; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (ICLR, 2025)

DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models. - Yimu Wang; Shuai Yuan; Bo Xue 004; Xiangru Jian; Wei Pang; Mushi Wang; Ning Yu (NAACL (Long Papers), 2025)

Graph convolutional network for traffic incidents duration classification. - Lyuyi Zhu; Qixin Zhang 001; Xiangru Jian; Yu Yang 001 (Eng. Appl. Artif. Intell., 2025)

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning. - Xiangru Jian; Xinjian Zhao; Wei Pang; Chaolong Ying; Yimu Wang; Yaoyao Xu; Tianshu Yu 001 (Trans. Mach. Learn. Res., 2025)

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. - Ahmed Masry; Juan A. Rodríguez; Tianyu Zhang; Suyuchen Wang; Chao Wang; Aarash Feizi; Akshay Kalkunte Suresh; Abhay Puri; Xiangru Jian; Pierre-André Noël; Sathwik Tejaswi Madhusudhan; Marco Pedersoli; et al. (CoRR, 2025)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. - Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Juan A. Rodríguez; Montek Kalsi; Rabiul Awal; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vázquez 001; Christopher Pal; Perouz Taslakian; et al. (CoRR, 2025)

GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks. - Hao Xu; Xiangru Jian; Xinjian Zhao; Wei Pang; Chao Zhang 045; Suyuchen Wang; Qixin Zhang 001; Joao Monteiro; Qiuzhuang Sun; Tianshu Yu 001 (CoRR, 2025)

LazyVLM: Neuro-Symbolic Approach to Video Analytics. - Xiangru Jian; Wei Pang; Zhengyuan Dong; Chao Zhang 045; M. Tamer Özsu (CoRR, 2025)

Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers. - Wei Pang; Kevin Qinghong Lin; Xiangru Jian; Xi He; Philip Torr 001 (CoRR, 2025)